server:
  port: 8080

spring:
  application:
    name: kamco-change-detection-api
  profiles:
    active: local  # 사용할 프로파일 지정 (ex. dev, prod, test)

  datasource:
    driver-class-name: org.postgresql.Driver
    hikari:
      jdbc:
        time_zone: UTC
        batch_size: 50
      # 권장 설정
      minimum-idle: 2
      maximum-pool-size: 2
      connection-timeout: 20000
      idle-timeout: 300000
      max-lifetime: 1800000
      leak-detection-threshold: 60000

  data:
    redis:
      host: localhost
      port: 6379
      password:
  jpa:
    hibernate:
      ddl-auto: update  # 테이블이 없으면 생성, 있으면 업데이트
    properties:
      hibernate:
        jdbc:
          batch_size: 50
        default_batch_fetch_size: 100
logging:
  level:
    root: INFO
    org.springframework.web: DEBUG
    org.springframework.security: DEBUG

    # 헬스체크 노이즈 핵심만 다운
    org.springframework.security.web.FilterChainProxy: INFO
    org.springframework.security.web.authentication.AnonymousAuthenticationFilter: INFO
    org.springframework.security.web.authentication.Http403ForbiddenEntryPoint: INFO
    org.springframework.web.servlet.DispatcherServlet: INFO
# actuator
management:
  health:
    readinessstate:
      enabled: true
    livenessstate:
      enabled: true
  endpoint:
    health:
      probes:
        enabled: true
      show-details: always
  endpoints:
    jmx:
      exposure:
        exclude: "*"
    web:
      base-path: /monitor
      exposure:
        include:
          - "health"

file:
  root: kamco-nfs
  nfs: /kamco-nfs
  sync-root-dir: ${file.nfs}/images/
  sync-tmp-dir: ${file.nfs}/requests/temp              # image upload temp dir
  sync-file-extention: tfw,tif
  dataset-dir: ${file.nfs}/model_output/export/        # 마운트경로 AI 추론결과
  dataset-tmp-dir: ${file.dataset-dir}tmp/
  model-dir: ${file.nfs}/ckpt/model/                   # 학습서버에서 트레이닝한 모델업로드경로
  model-tmp-dir: ${file.model-dir}tmp/
  model-file-extention: pth,json,py
  pt-path: ${file.nfs}/ckpt/model/v6-cls-checkpoints/
  dataset-response: ${file.nfs}/dataset/response/
  training-data:
    geojson-dir: ${file.nfs}/dataset/request/
  output-dir: ${file.nfs}/dataset/export/           # 마운트 경로 : 국유인 연계 등록할 추론 shp 파일

inference:
  nfs: /kamco-nfs
  geojson-dir: ${inference.nfs}/requests/                   # 추론실행을 위한 파일생성경로
  jar-path: ${inference.nfs}/repo/jar/shp-exporter.jar